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Topic · Safety, Risk, Reliability and Quality

Evaluation and Optimization Models

Evaluation and Optimization Models is a research topic within Safety, Risk, Reliability and Quality. Science Explorer counts 33k research works in it since 1960. 2.6% of them reached the world's top 10% most cited for their field and year.

This cluster of papers focuses on the comprehensive assessment of safety in energy and infrastructure, covering topics such as coal mine safety, power system risk evaluation, supply chain management, traffic safety assessment, and fault diagnosis using neural networks and fuzzy methods.

  • Safety Assessment
  • Neural Network
  • Risk Evaluation
  • Supply Chain
  • Power System
  • Fuzzy Method
  • Traffic Safety
  • Fault Diagnosis
  • Coal Mine
  • Data Mining
Research works
33k
fractional, since 1960
In the world top 10%
867
per year above
Top-10% rate
2.6%
share of its works in the world top 10%
Growth, 2013–17 → 2018–22
-78%
the tick is no change

Which countries lead Evaluation and Optimization Models research?

By volume, China and Indonesia publish the most (961 and 22 works in 2022–2025).

By volume, 2022–2025

  1. 1 China 961 works
  2. 2 Indonesia 22 works
  3. 3 United States 21 works
  4. 4 India 19 works
  5. 5 ?? 16 works
  6. 6 Vietnam 12 works
  7. 7 Iran 12 works
  8. 8 United Kingdom 10 works
  9. 9 Malaysia 8 works
  10. 10 Australia 6 works

How concentrated that is

The same countries as shares of everything the list above accounts for. A node where two countries do two thirds of the work and one spread evenly across twelve read alike as a ranking and not at all alike here.

China: 88.4%Indonesia: 2.0%United States: 1.9%India: 1.8%6 others listed: 5.8%88%largest
China961 · 88.4%Indonesia22 · 2.0%United States21 · 1.9%India19 · 1.8%6 others listed63 · 5.8%

Shares of the rows listed above, not of the whole node.

Which institutions lead Evaluation and Optimization Models research?

By volume in 2022–2025, State Grid Corporation of China (China) publishes the most Evaluation and Optimization Models research, followed by North China Electric Power University and Beijing Jiaotong University.

By volume, 2022–2025

  1. 1 State Grid Corporation of China (China) China 18 works
  2. 2 North China Electric Power University China 16 works
  3. 3 Beijing Jiaotong University China 16 works
  4. 4 Shanghai Electric (China) China 13 works
  5. 5 China University of Mining and Technology China 12 works
  6. 6 Wuhan University of Technology China 12 works
  7. 7 Liaoning Technical University China 12 works
  8. 8 Chang'an University China 10 works
  9. 9 China Southern Power Grid (China) China 9 works
  10. 10 Sichuan University China 9 works

Who are the leading researchers in Evaluation and Optimization Models?

The most-cited researchers publishing on Evaluation and Optimization Models include Zeshui Xu.

  1. 1 Zeshui Xu 3.3k citations

Ranked by citations received across their whole record, among researchers with at least three works on this topic.

Where is Evaluation and Optimization Models research done?

The largest centres of Evaluation and Optimization Models research in 2022–2025 are Beijing (China), Xi'an (China), Shanghai (China) and Wuhan (China). Among places with at least 20 works in it, it is an unusually large share of all research in Xi'an, Jinan and Wuhan.

Largest cities, 2022–2025

  1. 1 Beijing China 192 works
  2. 2 Xi'an China 62 works
  3. 3 Shanghai China 58 works
  4. 4 Wuhan China 51 works
  5. 5 Guangzhou China 36 works
  6. 6 Nanjing China 35 works
  7. 7 Chengdu China 32 works
  8. 8 Jinan China 27 works
  9. 9 Chongqing China 24 works
  10. 10 Changsha China 24 works

Where it is the local speciality

  1. Xi'anCN · 61.5 works7.1×
  2. JinanCN · 27.5 works6.2×
  3. WuhanCN · 50.8 works5.7×
  4. ChongqingCN · 24.2 works5.2×
  5. BeijingCN · 191.5 works5.0×
← less than its size predicts1×more →

Location quotient: how much more of its research is in Evaluation and Optimization Models than the world average.

See Evaluation and Optimization Models on the map

Where is the best place to study Evaluation and Optimization Models?

Among universities, judged by research, China University of Mining and Technology, North China Electric Power University and Beijing Jiaotong University score highest, combining excellence, specialisation, size, growth and international reach. Research strength is one signal when choosing where to study; it does not measure teaching.

0%20%40%mean 11.3111%fractional works in this node (log) →share in the world top 10% →China University of Mining and Technology: 12, 29.7%North China Electric Power University: 16, 8.7%Beijing Jiaotong University: 16, 3.5%Wuhan University of Technology: 12, 7.1%Liaoning Technical University: 12, 11.4%Chang'an University: 10, 6.5%Tongji University: 8, 19.5%Central South University: 8, 11.6%Sichuan University: 9, 3.8%China University of …North China Electric…Wuhan University of …Beijing Jiaotong Uni…
above the meannear itbelow it

One dot per university in the table below. The upper left is the interesting corner: small places doing unusually strong work.

#UniversityScoreTop 10%SpecialisationWorksGrowth
1China University of Mining and Technology China 70.329.7%13.8×12 -86.0%
2North China Electric Power University China 52.88.7%21.6×16 -69.4%
3Beijing Jiaotong University China 49.83.5%23.2×16 -80.0%
4Wuhan University of Technology China 46.17.1%13.2×12 -87.1%
5Liaoning Technical University China 44.611.4%60.6×12 -85.1%
6Chang'an University China 44.26.5%25.0×10 -81.7%
7Tongji University China 35.419.5%5.8×8 -87.6%
8Central South University China 18.911.6%4.5×8 -87.7%
9Sichuan University China 10.63.8%4.7×9 -77.2%

Universities only. Score blends excellence (30%), specialisation (25%), size (20%), growth (15%) and international reach (10%), 2015–2022; growth compares 2010–14 with 2015–19.

Is Evaluation and Optimization Models research growing?

Output in 2018–2022 was 78% lower than in 2013–2017, peaking in 2010.

19801990200020102020
grewheldshrank

The same series as a ribbon — one cell per year, darker for more. The line above answers how much; this answers when.

Which topics inside it are moving

Growth and decline on one axis around a shared zero. Two lists side by side hide the thing that matters: whether the growth dwarfs the decline, or the other way round.